TY - JOUR
T1 - Unlocking the full potential of reality capture for construction project cost monitoring
T2 - a mixed review
AU - Fobiri, Godfred
AU - Musonda, Innocent
AU - Muleya, Franco
N1 - Publisher Copyright:
© 2024, Emerald Publishing Limited.
PY - 2024
Y1 - 2024
N2 - Purpose: Digital data acquisition is crucial for operations in the digital transformation era. Reality capture (RC) has made an immeasurable contribution to various fields, especially in the built environment. This paper aims to review RC applications, potentials, limitations and the extent to which RC can be adopted for cost monitoring of construction projects. Design/methodology/approach: A mixed-method approach, using Bibliometric analysis and the PRISMA framework, was used to review and analyse 112 peer-reviewed journal articles from the Scopus and Web of Science databases. Findings: The study reveals RC has been applied in various areas in the built environment, but health and safety, cost and labour productivity monitoring have received little or no attention. It is proposed that RC can significantly support cost monitoring owing to its ability to acquire accurate and quick digital as-built 3D point cloud data, which contains rich measurement points for the valuation of work done. Research limitations/implications: The study’s conclusions are based only on the Scopus and Web of Science data sets. Only English language documents were approved, whereas others may be in other languages. The research is a non-validation of findings using empirical data to confirm the data obtained from RC literature. Practical implications: This paper highlights the importance of RC for cost monitoring in construction projects, filling knowledge gaps and enhancing project outcomes. Social implications: The implementation of RC in the era of the digital revolution has the potential to improve project delivery around the world today. Every project’s success is largely determined by the availability of precise and detailed digital data. RC applications have pushed for more sustainable design, construction and operations in the built environment. Originality/value: The study has given research trends on the extent of RC applications, potentials, limitations and future directions.
AB - Purpose: Digital data acquisition is crucial for operations in the digital transformation era. Reality capture (RC) has made an immeasurable contribution to various fields, especially in the built environment. This paper aims to review RC applications, potentials, limitations and the extent to which RC can be adopted for cost monitoring of construction projects. Design/methodology/approach: A mixed-method approach, using Bibliometric analysis and the PRISMA framework, was used to review and analyse 112 peer-reviewed journal articles from the Scopus and Web of Science databases. Findings: The study reveals RC has been applied in various areas in the built environment, but health and safety, cost and labour productivity monitoring have received little or no attention. It is proposed that RC can significantly support cost monitoring owing to its ability to acquire accurate and quick digital as-built 3D point cloud data, which contains rich measurement points for the valuation of work done. Research limitations/implications: The study’s conclusions are based only on the Scopus and Web of Science data sets. Only English language documents were approved, whereas others may be in other languages. The research is a non-validation of findings using empirical data to confirm the data obtained from RC literature. Practical implications: This paper highlights the importance of RC for cost monitoring in construction projects, filling knowledge gaps and enhancing project outcomes. Social implications: The implementation of RC in the era of the digital revolution has the potential to improve project delivery around the world today. Every project’s success is largely determined by the availability of precise and detailed digital data. RC applications have pushed for more sustainable design, construction and operations in the built environment. Originality/value: The study has given research trends on the extent of RC applications, potentials, limitations and future directions.
KW - 3D laser scanning
KW - Built environment
KW - Construction project cost monitoring
KW - Cost monitoring
KW - Photogrammetry
KW - Project cost management
KW - Reality capture
UR - http://www.scopus.com/inward/record.url?scp=85181893566&partnerID=8YFLogxK
U2 - 10.1108/JEDT-05-2022-0231
DO - 10.1108/JEDT-05-2022-0231
M3 - Review article
AN - SCOPUS:85181893566
SN - 1726-0531
JO - Journal of Engineering, Design and Technology
JF - Journal of Engineering, Design and Technology
ER -